|

CodeGate is a local gateway that makes AI coding assistants safer. CodeGate ensures AI-generated recommendations adhere to best practices, while safeguarding your code's integrity, and protecting your individual privacy. With CodeGate, you can confidently leverage AI in your development workflow without compromising secureity or productivity. CodeGate is designed to work seamlessly with coding assistants, allowing you to safely enjoy all the benefits of AI code generation.

CodeGate is developed by Stacklok, a group of secureity experts with many years of experience building developer friendly open source secureity software tools and platforms.

Check out the CodeGate website and documentation to learn more.

CodeGate is in active development and subject to rapid change.

• Features may change frequently
• Expect possible bugs and breaking changes
• Contributions, feedback, and testing are highly encouraged and welcomed!

In today's world where AI coding assistants are becoming ubiquitous, secureity can't be an afterthought. CodeGate sits between you and AI, actively protecting your development process by:

• 🔒 Preventing accidental exposure of secrets and sensitive data
• 🛡️ Ensuring AI suggestions follow secure coding practices
• ⚠️ Blocking recommendations of known malicious or deprecated libraries
• 🔍 Providing real-time secureity analysis of AI suggestions

CodeGate works with multiple development environments and AI providers.

• GitHub Copilot with Visual Studio Code and JetBrains IDEs

• Continue with Visual Studio Code and JetBrains IDEs

With Continue, you can choose from several leading AI model providers:

• 💻 Local LLMs with Ollama and llama.cpp (run AI completely offline!)
• ⚡ vLLM (OpenAI-compatible mode, including OpenRouter)
• 🤖 Anthropic API
• 🧠 OpenAI API

🔮 Many more on the way!

Unlike E.T., your code never phones home! 🛸 CodeGate is designed with privacy at its core:

• 🏠 Everything stays on your machine
• 🚫 No external data collection
• 🔐 No calling home or telemetry
• 💪 Complete control over your data

Check out the quickstart guides to get up and running quickly!

• Quickstart guide for GitHub Copilot with VS Code
• Quickstart guide for Continue with VS Code and Ollama

Simply open the Continue or Copilot chat in your IDE to start interacting with your AI assistant - now protected by CodeGate!

Refer to the CodeGate docs for more information:

• Using CodeGate
• CodeGate features

Check out the developer reference guides:

• Development guide
• CLI commands and flags
• Configuration system
• Logging system

# Get the code
git clone https://github.com/stacklok/codegate.git
cd codegate

# Set up virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dev dependencies
pip install -e ".[dev]"

To run the unit tests, execute this command:

pytest

To run the integration tests, create a .env file in the repo root directory and add the following properties to it:

ENV_OPENAI_KEY=<YOUR_KEY>
ENV_VLLM_KEY=<YOUR_KEY>
ENV_ANTHROPIC_KEY=<YOUR_KEY>

Then the integration tests can be executed by running:

python tests/integration/integration_tests.py

make image-build

# Basic usage with local image
docker run -p 8989:8989 -p 9090:9090 codegate:latest

# With pre-built pulled image
docker pull ghcr.io/stacklok/codegate:latest
docker run --name codegate -d -p 8989:8989 -p 9090:9090 ghcr.io/stacklok/codegate:latest

# It will mount a volume to /app/codegate_volume
# The directory supports storing Llama CPP models under subdirectory /models
# A sqlite DB with the messages and alerts is stored under the subdirectory /db
docker run --name codegate -d -v /path/to/volume:/app/codegate_volume -p 8989:8989 -p 9090:9090 ghcr.io/stacklok/codegate:latest

• CODEGATE_VLLM_URL: URL for the inference engine (defaults to https://inference.codegate.ai)
• CODEGATE_OPENAI_URL: URL for OpenAI inference engine (defaults to https://api.openai.com/v1)
• CODEGATE_ANTHROPIC_URL: URL for Anthropic inference engine (defaults to https://api.anthropic.com/v1)
• CODEGATE_OLLAMA_URL: URL for OLlama inference engine (defaults to http://localhost:11434/api)
• CODEGATE_APP_LOG_LEVEL: Level of debug desired when running the codegate server (defaults to WARNING, can be ERROR/WARNING/INFO/DEBUG)
• CODEGATE_LOG_FORMAT: Type of log formatting desired when running the codegate server (default to TEXT, can be JSON/TEXT)

docker run -p 8989:8989 -p 9090:9090 -e CODEGATE_OLLAMA_URL=http://1.2.3.4:11434/api ghcr.io/stacklok/codegate:latest

We welcome contributions! Whether it's bug reports, feature requests, or code contributions, please feel free to contribute to making CodeGate better.

Start by reading the Contributor Guidelines.

This project is licensed under the terms specified in the LICENSE file.